Remote Sensing Data Analysis in R

edited by: Alka Rani, Nirmal Kumar, S.K. Singh, N.K. Sinha, R.K. Jena & Himesh Patra
Browse all books of Nirmal
ISBN: 9789389571790 | Binding: Hardback | Pages: 364 | Language: English | Copyright: 2021
Length: 152 mm | Breadth: 26.2 mm | Height: 229 mm | Imprint: NIPA | Weight: 720 GMS
USD 289.00 USD 261.00
 
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This book offers a comprehensive and detailed guide for users to perform remote sensing and GIS operations using free and open-source software, specifically R. It is suitable for users who have a basic understanding of remote sensing and GIS but have limited knowledge of R software. The book introduces the R software and provides step-by-step instructions for downloading and installing it. It offers R-codes for tasks such as loading and plotting both raster and vector data, pre-processing and filtering raster data, processing vector data, unsupervised and supervised classification of raster data, and thematic mapping of both raster and vector data. Furthermore, it provides R-codes for advanced machine learning algorithms like random forest and support vector machine for supervised classification of raster data. This book is ideal for users who do not have access to expensive paid software for GIS and digital image processing. An additional DVD with sample data for practice is included, allowing users to gain hands-on experience with the R-codes provided in the book. This book can also serve as a useful training manual for performing digital image analysis and GIS operations using R software.

Alka Rani, Scientist,  ICAR – Indian Institute of Soil Science, Madhya Pradesh, India

Nirmal Kumar, Scientist, ICAR – National Bureau of Soil Survey and Land Use Planning, Maharashtra, India

S.K. Singh, Director, ICAR – National Bureau of Soil Survey and Land Use Planning, Maharashtra, India

N.K. Sinha, Scientist, ICAR – Indian Institute of Soil Science, Madhya Pradesh, India

R.K. Jena, Scientist, ICAR – National Bureau of Soil Survey and Land Use Planning, Assam, India

Himesh Patra, Scientist (Geoinformatics), Crop Data Technology Private Limited, Maharashtra, India

1. Download and Installation of R 2. Data availability and downloading 3. Raster data in R
4. Radiometric Calibration 5. Vector data in R 6. Coordinate Reference Systems (CRS) in R
7. Subset Raster 8. Vector Data Analysis 9. Mosaic Raster Images 10. Resampling of Raster Images 11. Raster data statistics 12. Image Contrast Enhancement 13. Spatial Filters 14. Transformations 15. Unsupervised Classification 16. Supervised Classification 17. Digital terrain analysis 18. Thematic mapping

 
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